Automating Machine Learning
Discover the nuances of automatic machine learning as insights reveal the importance of knowing which parameters to tune and their optimal ranges. Learn how practical experience and academic research contribute to mastering techniques in hyperparameter tuning, especially when transitioning between models like XgBoost and LightGBM. Delve into the world of transformer models, exploring new tasks such as summarization and translation, while uncovering valuable shortcuts to enhance your learning process in machine learning.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
AutoML for Natural Language Processing with Abhishek Thakur - #475
Related Questions
How do you train hyperparameters in a transformer model for the episode AutoML for Natural Language Processing with Abhishek Thakur - #475 and the clip Automating Machine Learning?
Can auto-tuning simplify machine learning coding in the episode AutoML for Natural Language Processing with Abhishek Thakur - #475 and the clip Automating Model Training?
Can auto-tuning simplify machine learning coding in the episode AutoML for Natural Language Processing with Abhishek Thakur - #475 and the clip Automating Machine Learning?